Analytics on 5G – Topology through PM correlation

As the 5G Network will be capable of being reconfigured and optimized on-the-fly, they will also be more automated, requiring less manual effort to provision resources and make the most efficient use of bandwidth. The Ciena Analytics as a Service is a suite of tools to assist network operator in pro-active discovery on their network operations. This project will look at integrating new advanced intrepretable Artificial Intelligence and Machine Learning techniques to tackle different challenging networking tasks (e.g. traffic prediction, anomaly detection, topology discovery, etc.). All layers of the ENCQOR Network will be looked at over the 2 year program.

Faculty Supervisor:

Nizar Bouguila

Student:

Kamal Maanicshah Mathin Henry;Yogesh Pawar;Shuai Fu

Partner:

Ciena Corp.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Concordia University